{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # 导入Numpy\nimport pandas as pd # 导入Pandas\nfrom sklearn import datasets # 导入sklearn的数据集\niris = datasets.load_iris() # 导入iris\nX_sepal = iris.data[:,[0,1]] # 花萼特征集：两个特征长和宽\nX_petal = iris.data[:,[2,3]] # 花瓣特征集：两个特征长和宽\ny = iris.target # 标签集","execution_count":1,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split # 导入拆分数据集工具\nfrom sklearn.preprocessing import StandardScaler # 导入标准化工具\nX_train_petal, X_test_petal, y_train_petal, y_test_petal = \\\n  train_test_split(X_petal,y,test_size=0.3,random_state=0) # 拆分数据集\nprint(\"花瓣训练集样本数: \", len(X_train_petal))\nprint(\"花瓣测试集样本数: \", len(X_test_petal))\nscaler = StandardScaler() # 标准化工具\nX_train_petal = scaler.fit_transform(X_train_petal) # 训练集数据标准化\nX_test_petal = scaler.transform(X_test_petal) # 测试集数据标准化\n# 合并特征集和标签集，留待以后数据展示之用\nX_combined_petal = np.vstack((X_train_petal,X_test_petal)) # 合并特征集\nY_combined_petal = np.hstack((y_train_petal,y_test_petal)) # 合并标签集","execution_count":2,"outputs":[{"output_type":"stream","text":"花萼训练集样本数:  105\n花萼测试集样本数:  45\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.linear_model import LogisticRegression # 导入逻辑回归模型\nlr = LogisticRegression(penalty='l2', C = 0.1) # 设定L2正则化和C参数\nlr.fit(X_train_petal,y_train_petal) # 训练机器\nscore = lr.score(X_test_petal,y_test_petal) # 测试集分数评估\nprint(\"SK-learn逻辑回归测试准确率 {:.2f}%\".format(score*100)) ","execution_count":3,"outputs":[{"output_type":"stream","text":"SK-learn逻辑回归测试准确率 60.00%\n","name":"stdout"},{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nfrom matplotlib.colors import ListedColormap\ndef plot_decision_regions(X,y,classifier,test_idx=None,resolution=0.02):    \n    markers = ('o','x','v')\n    colors = ('red','blue','lightgreen')\n    color_Map = ListedColormap(colors[:len(np.unique(y))])     \n    x1_min = X[:,0].min() - 1\n    x1_max = X[:,0].max() + 1\n    x2_min = X[:,1].min() - 1\n    x2_max = X[:,1].max() + 1\n    xx1, xx2 = np.meshgrid(np.arange(x1_min,x1_max,resolution),\n                           np.arange(x2_min,x2_max,resolution))    \n    Z = classifier.predict(np.array([xx1.ravel(),xx2.ravel()]).T)\n    Z = Z.reshape(xx1.shape)    \n    plt.contour(xx1,xx2,Z,alpha=0.4,cmap = color_Map)\n    plt.xlim(xx1.min(),xx1.max())\n    plt.ylim(xx2.min(),xx2.max())   \n    X_test, Y_test = X[test_idx,:], y[test_idx]\n    for idx, cl in enumerate(np.unique(y)):\n        plt.scatter(x = X[y == cl, 0], y = X[y == cl, 1],\n                    alpha = 0.8, c = color_Map(idx),\n                    marker = markers[idx], label = cl)","execution_count":4,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score\nC_param_range = [0.01,0.1,1,10,100,1000]\npetal_acc_table = pd.DataFrame(columns = ['C_parameter','Accuracy'])\npetal_acc_table['C_parameter'] = C_param_range\nplt.figure(figsize=(10, 10))\nj = 0\nfor i in C_param_range:\n    lr = LogisticRegression(penalty = 'l2', C = i,random_state = 0)\n    lr.fit(X_train_petal,y_train_petal)\n    y_pred_petal = lr.predict(X_test_petal)\n    petal_acc_table.iloc[j,1] = accuracy_score(y_test_petal,y_pred_petal)\n    j += 1    \n    plt.subplot(3,2,j)\n    plt.subplots_adjust(hspace = 0.4)\n    plot_decision_regions(X = X_combined_petal, y = Y_combined_petal, \n                          classifier = lr, test_idx = range(105,150))\n    plt.xlabel('Petal length')\n    plt.ylabel('Petal width')\n    plt.title('C = %s'%i)","execution_count":5,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n","name":"stderr"},{"output_type":"display_data","data":{"text/plain":"<Figure size 720x720 with 6 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"lr = LogisticRegression(penalty='l2', C = 10) # 设定L2正则化和C参数\nlr.fit(X_train_petal,y_train_petal) # 训练机器\nscore = lr.score(X_test_petal,y_test_petal) # 测试集分数评估\nprint(\"Sklearn逻辑回归测试准确率 {:.2f}%\".format(score*100)) ","execution_count":6,"outputs":[{"output_type":"stream","text":"Sklearn逻辑回归测试准确率 95.56%\n","name":"stdout"},{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n  FutureWarning)\n/opt/conda/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n  \"this warning.\", FutureWarning)\n","name":"stderr"}]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}